Artificial Intelligence Intern [IDA:00029]

Primary Goals:

- Develop an Agentic AI framework to standardize requirements expressed in natural language.

- Explore and implement methodologies to enhance the effectiveness and efficiency of requirement normalization using Agentic AI.

- Evaluate the performance of the developed model through rigorous testing and comparison with existing methods.

- Explore and implement methods to make open-source LLMs assist in requirement domain-specific generation, including data pre-processing, model-finetuning, etc.

- Document the project findings and present them in a clear and comprehensible manner.

This internship provides an excellent opportunity for talented individuals passionate about Artificial Intelligence, Generative AI, Agentic AI, and Prompt Tuning. As a part of our team, you will collaborate with experienced practitioners and researchers, gain practical experience in state-of-the-art technologies, and contribute to pioneering research in the field of Generative AI assisted by Agentic AI.

Activities:

- Research and understand the principles and applications of Generative AI, with a focus on Agentic AI.

- Design and implement an Agentic AI framework and Generative AI model capable of normalizing requirements expressed in various forms of natural language.

- Develop methods to assist and augment the knowledge retrieval from multiple sources and associated generation (Retrieval Augmented Generation).

- Collect and preprocess a diverse dataset of requirements for training and evaluation purposes.

- Fine-tune the LLM parameters and optimize its performance through iterative experimentation.

- Develop evaluation metrics and conduct thorough testing to assess the effectiveness and efficiency of the model.

- Document the project progress, methodologies, and results in a comprehensive report.

- Prepare and deliver presentations to communicate the project findings to stakeholders.